This article describes the application of a neural network to the segmentation of remote sensing images of multispectral SPOT and fully polarimetric SAR data. The structure of the network is a modified multilayer perceptron and is trained by the Kalman filter theory. The internal activity of the net
β¦ LIBER β¦
Remote sensing image segmentation with probabilistic neural networks
β Scribed by Liu Gang
- Publisher
- Springer
- Year
- 2005
- Tongue
- English
- Weight
- 769 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1009-5020
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